GTM OpsHello OperatorVictor's pick
Make Friends With Your Market
useful booth manning advice
Why I picked this
The SaaS is dead, the SaaS is going to rebound argument well encapsulated in a revops reddit thread
ai-coding-toolsback-to-basics-gtmautomation-stacks
“RevOps teams are vibe coding replacements for $18/month tools with uncapped Claude budgets, completely ignoring the time cost and quality degradation”
Key takeaways
- RevOps teams are misallocating resources by building AI-powered replacements for cheap SaaS tools, ignoring total cost of ownership including AI API costs, engineering time, and quality degradation
- The 'uncapped Claude budget' approach represents a new form of technical debt where teams optimize for visible SaaS line items while creating hidden costs in maintenance, bugs, and user friction
- This represents a broader pattern of AI tool misuse: teams are treating coding assistants as cost-saving measures rather than productivity multipliers, leading to false economies that burn more value than they save
Why this matters for operators: RevOps leaders evaluating build-vs-buy decisions in AI era; CFOs tracking hidden AI costs
I cover AI×GTM intelligence like this every Wednesday.
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Human-AI IntersectionTechCrunch AIVictor's pick
Meet Shapes, the app bringing humans and AI into the same group chats
this is just ...cool?
- Shapes is positioning as 'Discord with AI characters' - group chat with AI participants
- Represents emerging category of AI-as-peer vs AI-as-tool
- Insufficient detail to assess product-market fit or GTM relevance
ai-collaboration-toolsconversational-aihuman-ai-interaction
AI Developmentn8n Blog
Human-in-the-Loop vs. Human-on-the-Loop: When To Use Each System
- HITL (human-in-the-loop) requires human approval before AI executes critical actions - synchronous control pattern used for high-stakes decisions, compliance requirements, and low-confidence scenarios
- HOTL (human-on-the-loop) allows AI to execute autonomously while humans review results and adjust parameters - asynchronous pattern for scalable operations with exception-based oversight
- Framework applies across use cases: loan approvals, customer emails, social posts, fraud detection, and compliance workflows - choice depends on risk tolerance, regulatory requirements, and operational scale needs
automation-stacksai-policyhuman-first-sales
This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.